4 papers
A Reinforcement Learning Approach for Scheduling in mmWave Networks
Mine Gokce Dogan, Yahya H. Ezzeldin, Christina Fragouli +1
We consider a source that wishes to communicate with a destination at a desired rate, over a mmWave network where links are subject to blockage and nodes to failure (e.g., in a hos…
A Resilient and Energy-Aware Task Allocation Framework for Heterogeneous Multi-Robot Systems
Gennaro Notomista, Siddharth Mayya, Yousef Emam +4
In the context of heterogeneous multi-robot teams deployed for executing multiple tasks, this paper develops an energy-aware framework for allocating tasks to robots in an online f…
Adaptive Task Allocation for Heterogeneous Multi-Robot Teams with Evolving and Unknown Robot Capabilities
Yousef Emam, Siddharth Mayya, Gennaro Notomista +2
For multi-robot teams with heterogeneous capabilities, typical task allocation methods assign tasks to robots based on the suitability of the robots to perform certain tasks as wel…
Learning flexible representations of stochastic processes on graphs
Addison Bohannon, Brian Sadler, Radu Balan
Graph convolutional networks adapt the architecture of convolutional neural networks to learn rich representations of data supported on arbitrary graphs by replacing the convolutio…